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Krieg2065

Firecrawl MCP Server

by Krieg2065

firecrawl_batch_scrape

Scrape multiple web pages simultaneously to extract content in various formats like markdown, HTML, or screenshots, returning a job ID for status tracking.

Instructions

Scrape multiple URLs in batch mode. Returns a job ID that can be used to check status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesList of URLs to scrape
optionsNo

Implementation Reference

  • Handler for firecrawl_batch_scrape tool: validates input, queues batch scrape operation using client.asyncBatchScrapeUrls via processBatchOperation, returns job ID.
    case 'firecrawl_batch_scrape': {
      if (!isBatchScrapeOptions(args)) {
        throw new Error('Invalid arguments for firecrawl_batch_scrape');
      }
    
      try {
        const operationId = `batch_${++operationCounter}`;
        const operation: QueuedBatchOperation = {
          id: operationId,
          urls: args.urls,
          options: args.options,
          status: 'pending',
          progress: {
            completed: 0,
            total: args.urls.length,
          },
        };
    
        batchOperations.set(operationId, operation);
    
        // Queue the operation
        batchQueue.add(() => processBatchOperation(operation));
    
        safeLog(
          'info',
          `Queued batch operation ${operationId} with ${args.urls.length} URLs`
        );
    
        return {
          content: [
            {
              type: 'text',
              text: trimResponseText(
                `Batch operation queued with ID: ${operationId}. Use firecrawl_check_batch_status to check progress.`
              ),
            },
          ],
          isError: false,
        };
      } catch (error) {
        const errorMessage =
          error instanceof Error
            ? error.message
            : `Batch operation failed: ${JSON.stringify(error)}`;
        return {
          content: [{ type: 'text', text: trimResponseText(errorMessage) }],
          isError: true,
        };
      }
    }
  • Tool schema definition including input schema for batch URLs and scrape options.
    const BATCH_SCRAPE_TOOL: Tool = {
      name: 'firecrawl_batch_scrape',
      description:
        'Scrape multiple URLs in batch mode. Returns a job ID that can be used to check status.',
      inputSchema: {
        type: 'object',
        properties: {
          urls: {
            type: 'array',
            items: { type: 'string' },
            description: 'List of URLs to scrape',
          },
          options: {
            type: 'object',
            properties: {
              formats: {
                type: 'array',
                items: {
                  type: 'string',
                  enum: [
                    'markdown',
                    'html',
                    'rawHtml',
                    'screenshot',
                    'links',
                    'screenshot@fullPage',
                    'extract',
                  ],
                },
              },
              onlyMainContent: {
                type: 'boolean',
              },
              includeTags: {
                type: 'array',
                items: { type: 'string' },
              },
              excludeTags: {
                type: 'array',
                items: { type: 'string' },
              },
              waitFor: {
                type: 'number',
              },
            },
          },
        },
        required: ['urls'],
      },
    };
  • src/index.ts:962-973 (registration)
    Registration of firecrawl_batch_scrape tool (as BATCH_SCRAPE_TOOL) in the listTools response.
        SCRAPE_TOOL,
        MAP_TOOL,
        CRAWL_TOOL,
        BATCH_SCRAPE_TOOL,
        CHECK_BATCH_STATUS_TOOL,
        CHECK_CRAWL_STATUS_TOOL,
        SEARCH_TOOL,
        EXTRACT_TOOL,
        DEEP_RESEARCH_TOOL,
        GENERATE_LLMSTXT_TOOL,
      ],
    }));
  • Helper function that performs the actual batch scrape using client.asyncBatchScrapeUrls, handles retries, credits, and updates operation status.
    async function processBatchOperation(
      operation: QueuedBatchOperation
    ): Promise<void> {
      try {
        operation.status = 'processing';
        let totalCreditsUsed = 0;
    
        // Use library's built-in batch processing
        const response = await withRetry(
          async () =>
            client.asyncBatchScrapeUrls(operation.urls, operation.options),
          `batch ${operation.id} processing`
        );
    
        if (!response.success) {
          throw new Error(response.error || 'Batch operation failed');
        }
    
        // Track credits if using cloud API
        if (!FIRECRAWL_API_URL && hasCredits(response)) {
          totalCreditsUsed += response.creditsUsed;
          await updateCreditUsage(response.creditsUsed);
        }
    
        operation.status = 'completed';
        operation.result = response;
    
        // Log final credit usage for the batch
        if (!FIRECRAWL_API_URL) {
          safeLog(
            'info',
            `Batch ${operation.id} completed. Total credits used: ${totalCreditsUsed}`
          );
        }
      } catch (error) {
        operation.status = 'failed';
        operation.error = error instanceof Error ? error.message : String(error);
    
        safeLog('error', `Batch ${operation.id} failed: ${operation.error}`);
      }
    }
  • Type guard function for validating batch scrape input arguments.
    function isBatchScrapeOptions(args: unknown): args is BatchScrapeOptions {
      return (
        typeof args === 'object' &&
        args !== null &&
        'urls' in args &&
        Array.isArray((args as { urls: unknown }).urls) &&
        (args as { urls: unknown[] }).urls.every((url) => typeof url === 'string')
      );
    }
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that the tool returns a job ID for status checking, which implies an asynchronous operation. However, it doesn't cover critical aspects like rate limits, authentication requirements, error handling, or what happens if URLs fail. For a batch scraping tool with no annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise—two sentences that directly state the tool's function and output. It's front-loaded with the core purpose, and every sentence earns its place by adding value (batch mode and job ID return). No wasted words or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (batch scraping with multiple options and asynchronous behavior), no annotations, and no output schema, the description is incomplete. It doesn't explain the asynchronous nature in detail, error handling, or how to use the job ID with sibling tools like 'firecrawl_check_batch_status.' For a tool with rich input options and no structured safety hints, more context is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 50% (only the 'urls' parameter has a description). The description adds no parameter-specific information beyond what's implied by 'batch mode' and 'job ID.' It doesn't explain the 'options' object or its sub-properties (e.g., 'formats,' 'onlyMainContent'). With low schema coverage, the description fails to compensate adequately, but it doesn't contradict the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Scrape multiple URLs in batch mode.' It specifies the verb (scrape), resource (URLs), and operational mode (batch). However, it doesn't explicitly differentiate from sibling tools like 'firecrawl_scrape' or 'firecrawl_crawl,' which likely handle single URLs or different crawling methods.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides minimal guidance: it mentions batch mode and that it returns a job ID for status checking. However, it doesn't explain when to use this tool versus alternatives like 'firecrawl_scrape' (likely for single URLs) or 'firecrawl_crawl' (possibly for different crawling approaches). No explicit when/when-not scenarios or prerequisites are included.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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